Production decision support system: Real-life emulsion plant case study
As the world becomes increasingly globalised, chemical manufacturers have to make timely decisions and right strategies in order to stay competitive in marketplace. Numerous formal techniques have been suggested for aggregate planning but industry finds these models complicated and lack practicality...
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| Main Authors: | , , , |
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| Format: | Article |
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Italian Association of Chemical Engineering - AIDIC
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019439395&doi=10.3303%2fCET1756212&partnerID=40&md5=a96f5ceb4ed1f4ebd6737531b2826790 http://eprints.utp.edu.my/19772/ |
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| Summary: | As the world becomes increasingly globalised, chemical manufacturers have to make timely decisions and right strategies in order to stay competitive in marketplace. Numerous formal techniques have been suggested for aggregate planning but industry finds these models complicated and lack practicality. The objective of this paper is to develop an industry adoptable Production Decision Support System (PDSS) for multi-product and multiprocessor batch industries. The construction of this system is initiated with the development of a general batch production planning framework which will be eventually translated into an algorithm tool. This tool will be able to support the investigation of required sales forecasts against plant capacity by providing a complete overview with different scenarios on multi-product batch processes, thus improving effectiveness and efficiency of operational decision-making, as well as assisting in strategy establishment. The production contributory factors that are being considered for plant capacity include cycle time, batch size, plant availability, number of production lines and product mixes. The practicality and beneficial use of this PDSS system is then demonstrated through a real-life emulsion plant where its production capacity has been successfully stretched giving additional volume which has translated into additional revenue of RM 10 M to the company. Copyright © 2017, AIDIC Servizi S.r.l.. |
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